AT*SQA AI For Testers Certification
AT*SQA makes it easy to add another certification to your resume. When you get all four micro-credentials in the AI for Testers AT*SkillStack™ below, you will also receive the AT*SQA AI for Testers Certification!
The AI for Testers training is designed by AT*SQA to equip software testers with a foundational understanding of artificial intelligence (AI) and its impact on testing practices. This module explores why AI, a transformative technology akin to personal computers and smartphones, is here to stay and will revolutionize how we interact with and test systems. It introduces key AI concepts, including the distinction between AI and Generative AI, the structure and function of neural networks, and the basics of machine learning models such as Large Language Models (LLMs) and Small Language Models (SLMs). Through engaging content and practical examples, learners will grasp essential terminology, understand data considerations, and explore how AI can enhance testing processes, all while addressing challenges and limitations to ensure effective application in real-world scenarios.
Pass all four micro-credentials and you will also receive the AT*SQA AI for Testers Certification
- AI Introduction for Testers
- What to Test in an AI based System - coming soon
- How to Test an AI-based System - coming soon
- Using AI to Test - coming soon
Bonuses: Get extra Testing Tiers® points and appear on Official U.S. List of Certified & Credentialed Software Testers™ when you receive the certification. You can also appear in the AT*Work™ list of software testers for hire.
Short Introduction Video
Who Needs AT*SQA AI for Testers Certification?
Anyone involved in enhancing software quality through efficient testing processes can benefit from the AT*SQA AI For Testers Certification, including:
- Manual Testers transitioning to automation
- Test Automation Engineers
- Developers contributing to CI/CD pipelines
- Quality Assurance (QA) Analysts
- DevOps Team Members
- API Testers
- Software Engineers
- Business Analysts involved in testing
This training builds foundational knowledge of AI and Generative AI, equipping testers to understand machine learning models, neural networks, and data-driven workflows. By learning how AI is built, tested, and applied in practice, testers can identify risks, evaluate model accuracy, and adapt traditional testing methods to AI-based systems. Mastering AI concepts empowers testers to leverage AI tools in their own work, enhance test design, and anticipate quality challenges, enabling faster, smarter testing and ensuring reliability in an AI-driven development environment.
AT*SQA AI for Testers
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